CN104254810B - Method and system for the condition monitoring of one group of factory - Google Patents

Method and system for the condition monitoring of one group of factory Download PDF

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Publication number
CN104254810B
CN104254810B CN201380012036.5A CN201380012036A CN104254810B CN 104254810 B CN104254810 B CN 104254810B CN 201380012036 A CN201380012036 A CN 201380012036A CN 104254810 B CN104254810 B CN 104254810B
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China
Prior art keywords
factory
data
model
component
rule set
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CN201380012036.5A
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CN104254810A (en
Inventor
M.阿利
A.哈利迪
F.奇内利
G.莫基
V.奇韦利
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Nuovo Pignone Technologie SRL
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Nuovo Pignone SRL
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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0421—Multiprocessor system
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
    • G05B23/0235—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions based on a comparison with predetermined threshold or range, e.g. "classical methods", carried out during normal operation; threshold adaptation or choice; when or how to compare with the threshold
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
    • G05B23/0216—Human interface functionality, e.g. monitoring system providing help to the user in the selection of tests or in its configuration
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02C—GAS-TURBINE PLANTS; AIR INTAKES FOR JET-PROPULSION PLANTS; CONTROLLING FUEL SUPPLY IN AIR-BREATHING JET-PROPULSION PLANTS
    • F02C7/00—Features, components parts, details or accessories, not provided for in, or of interest apart form groups F02C1/00 - F02C6/00; Air intakes for jet-propulsion plants
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B51/00—Testing machines, pumps, or pumping installations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L3/00—Measuring torque, work, mechanical power, or mechanical efficiency, in general
    • G01L3/02—Rotary-transmission dynamometers
    • G01L3/04—Rotary-transmission dynamometers wherein the torque-transmitting element comprises a torsionally-flexible shaft
    • G01L3/10—Rotary-transmission dynamometers wherein the torque-transmitting element comprises a torsionally-flexible shaft involving electric or magnetic means for indicating
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M15/00—Testing of engines
    • G01M15/14—Testing gas-turbine engines or jet-propulsion engines
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0267—Fault communication, e.g. human machine interface [HMI]
    • G05B23/0272—Presentation of monitored results, e.g. selection of status reports to be displayed; Filtering information to the user
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01D—NON-POSITIVE DISPLACEMENT MACHINES OR ENGINES, e.g. STEAM TURBINES
    • F01D21/00—Shutting-down of machines or engines, e.g. in emergency; Regulating, controlling, or safety means not otherwise provided for
    • F01D21/003—Arrangements for testing or measuring
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01D—NON-POSITIVE DISPLACEMENT MACHINES OR ENGINES, e.g. STEAM TURBINES
    • F01D21/00—Shutting-down of machines or engines, e.g. in emergency; Regulating, controlling, or safety means not otherwise provided for
    • F01D21/12—Shutting-down of machines or engines, e.g. in emergency; Regulating, controlling, or safety means not otherwise provided for responsive to temperature
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02C—GAS-TURBINE PLANTS; AIR INTAKES FOR JET-PROPULSION PLANTS; CONTROLLING FUEL SUPPLY IN AIR-BREATHING JET-PROPULSION PLANTS
    • F02C9/00—Controlling gas-turbine plants; Controlling fuel supply in air- breathing jet-propulsion plants
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
    • F05D2260/00—Function
    • F05D2260/80—Diagnostics
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B11/00—Automatic controllers
    • G05B11/01—Automatic controllers electric
    • G05B11/06—Automatic controllers electric in which the output signal represents a continuous function of the deviation from the desired value, i.e. continuous controllers
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/25—Pc structure of the system
    • G05B2219/25315—Module, sequence from module to module, structure
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • G05B23/0245—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a qualitative model, e.g. rule based; if-then decisions

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical & Material Sciences (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Control Of Positive-Displacement Air Blowers (AREA)
  • Structures Of Non-Positive Displacement Pumps (AREA)
  • Engine Equipment That Uses Special Cycles (AREA)
  • Control Of Turbines (AREA)
  • Control Of Positive-Displacement Pumps (AREA)

Abstract

The present invention provides a kind of system (100) and method for being used to monitor machinery and system in process plant with diagnostic system using native monitoring.The system includes plant data storehouse (206), the plant data storehouse (206) is configured to store rule set, the rule set includes at least one rule, and the rule is expressed as the model based on physics of factory component or system, the model of data-driven and empirical model and real time data output relative at least one of relational expression of real time data input.The system also includes server-class computers, the server-class computers are configured to receive factory component data from factory's unit control panel, use the model based on physics described in associated with the factory component or system, at least one described generation virtual-sensor output in the model and empirical model of data-driven, the factory component data and the virtual-sensor generated output are transferred to the plant data storehouse for storing and being transferred to data visualisation system for generating analyzed pattern, use the model based on physics, in the model and empirical model rule set of data-driven it is described at least one determine operation or the performance condition of the factory component or system near real-time.

Description

Method and system for the condition monitoring of one group of factory
Technical field
The field of the invention relates generally to mechanical/electrical equipment operation, monitoring and diagnosis, and more specifically, relates to And for one group of shop equipment of native monitoring and the system and method for Remote Selection monitoring shop equipment queue.
Background technology
The industrial plant of at least some known quite a lot of machines of operation is monitored using local control system and is diagnosed this The health of class machine.The value of the procedure parameter sensed can also be sent to off-site surveillane center to carry out by local control system Data storage, analysis and failture evacuation.Generally, the data transmitted be relatively old data from historical record and/or In one direction queue monitor center is sent to from factory.In order to what is bought using equipment supplier to factory owner The know-how of equipment, it may be necessary to which field service engineer visits factory floor and merges adjustment now to observe near-realtime data collection There is controller.Visit factory is expensive, labor intensive's and is difficult to after having notice carry out at once.
The content of the invention
In one embodiment, a kind of native monitoring for factory includes with diagnostic system：FTP client FTP, it includes User interface and browser；And plant data storehouse, it is configured to store rule set, wherein the rule set includes at least one Individual rule, the rule are expressed as the model based on physics of factory component or system, the model and experience of data-driven Model and real time data output are relative at least one of relational expression of real time data input.The relationship expression Formula is particularly in plant asset or one group of underlying assets.The plant data storehouse be further configured to from factory's phase The condition monitoring system receiving event data of association, and the condition monitoring system be configured to analyze shop equipment data with Realize that the real-time optimization of equipment and the process select, condition monitor and event diagnosis generates the event data.The system System also includes server-class computers, and it is configured to be communicably coupled to the FTP client FTP and the database, The server-class computers are further configured to from the sensing being communicably coupled to around factory component positioning Factory's unit control panel of device receives factory component data, using associated with the factory component or system based on physics In model, the model of data-driven and empirical model and relational expression it is described at least one generate virtual sensing Device is exported, and the factory component data and the virtual-sensor generated output are transferred into the plant data storehouse for depositing Store up and be transferred to data visualisation system for generating the analyzed pattern that the user of the FTP client FTP is asked, use At least one of model and empirical model rule set of model, data-driven based on physics come described in determining near real-time The operation of factory component or system or performance condition, and export by user's selection expression the selected factory component or The visualization of system, the visualization include illustrating the figure of the factory component or system and defined and the selected work The text message of the value of the data for receiving He being generated of factory's component or system correlation.
In another embodiment, it is a kind of monitor using native monitoring and diagnostic system in process plant it is mechanical and system Method, the native monitoring include the database of at least one rule set with diagnostic system, and the rule set includes at least one Rule, the rule are expressed as at least one of based on physics of at least one of machine, system and combinations thereof At least one of model, the model of data-driven and empirical model.Methods described includes described from being communicably coupled to The sensor of native monitoring and diagnostic system receive with the factory in machine and at least one of system it is described at least The related procedure parameter value of the operation of a part, by the native monitoring and diagnostic system for the machine in the factory and being The procedure parameter that at least one of operation of at least one of system is related determines virtual sensor value, and by described Native monitoring generates at least one of figure of the machine and at least one of system in the factory with diagnostic system The classification visualization that shape represents, including the received procedure parameter value and virtual sensor value, the visualization of each of which level Figure including presentation more more detailed than previous stage represents.
In yet another embodiment, a kind of monitoring for factory's queue includes with diagnostic system：It is related to each factory The FTP client FTP of connection, each FTP client FTP include user interface and browser；It is and associated with each factory Plant data storehouse, each plant data storehouse is configured to store the rule set related to the component at that factory, described Rule set includes at least one rule, and the rule is expressed as the model based on physics of factory component or system, data The relationship expression that at least one of model and empirical model of driving and real time data output input relative to real time data At least one of formula, the relational expression is particularly in plant asset or one group of underlying assets, the plant data storehouse It is further configured to from the condition monitoring system receiving event data associated with the factory, the condition monitoring system quilt Real-time optimization, condition monitoring and the event diagnosis for being configured to analyze shop equipment data the process to realize equipment and select come Generate the event data.The monitoring also includes with diagnostic system：The queue database being located remotely from factory's queue, The queue database is configured to receive factory's performance and operation data from the factory of the optional number in the queue, described Factory's performance and operation data include history plant data and quasi real time plant data；And server-class computers, its by with It is set to and is communicably coupled to the FTP client FTP and the database, the server-class computers is further configured Factory's group is received into from the factory's unit control panel for the sensor for being communicably coupled to position around the factory component Number of packages evidence, use the model based on physics associated with the factory component or system, the model and experience of data-driven In model and relational expression it is described at least one come generate virtual-sensor output, by the factory component data and institute Generation virtual-sensor output be transferred to the plant data storehouse for store and be transferred to data visualisation system with The analyzed pattern that user for generating the FTP client FTP is asked, driven using the model based on physics, data In dynamic model and empirical model rule set it is described at least one determine the behaviour of the factory component or system near real-time Work or performance condition, and export by the visualization of expression the selected factory component or system of user's selection, it is described Visualization includes illustrating the figure of the factory component or system and defined related to the selected factory component or system The data for receiving He being generated value text message.
Brief description of the drawings
Fig. 1 to Figure 10 shows the one exemplary embodiment of the method and system described in this specification.
Fig. 1 is the schematic block diagram of remotely monitor and diagnostic system according to an exemplary embodiment of the invention；
Fig. 2 is the network architecture of native industry plant supervisory and diagnostic system (such as dcs (DCS)) The block diagram of one exemplary embodiment；
Fig. 3 is the block diagram for the exemplary rule set that can be used together with the LMDS shown in Fig. 1；
Fig. 4 is the data flow block diagram of LMDS according to an exemplary embodiment of the invention；
Fig. 5 is the condition and property of the component in the component queue that monitoring can monitor from LMDS or remotely monitor with diagnostic center The flow chart of the method for energy；
Fig. 6 is the schematic block diagram for the LMDS for being communicably coupled to factory floor and remotely monitor and diagnostic center；
Fig. 7 is the screen for the 1st grade of view that can be watched by LMDS or remotely monitor with diagnostic system via network connection Sectional drawing；
Fig. 8 is can be in the screen for the 2nd grade of view watched after the 1st grade of views selection monitoring tab shown in Fig. 7 Curtain sectional drawing；
Fig. 9 is can be seen after the 2nd grade of views selection performance options card shown in the 1st grade of view or Fig. 8 shown in Fig. 7 The screenshot capture for the 3rd level view seen；And
Figure 10 is the screenshot capture of the 4th grade of view of description vibration pickup according to an exemplary embodiment of the invention.
Embodiment
It is described in detail below to illustrate embodiments of the invention by way of example rather than in a manner of limitation.It is expected that the present invention is extensively Suitable for monitoring and analytic type the and systematic implementation of diagnostic system of being directed a factory industry, business and residential application Example.
As used in this specification, describe in the singular and be above followed by the element or step of word "a" or "an" Suddenly should be understood to be not excluded for a plurality of element or steps, unless clearly describing this exclusion.In addition, " one to the present invention The reference of individual embodiment " is not intended to be construed to exclude the Additional examples of composition for being also incorporated into the feature described be present.
Embodiment of the disclosure description is a kind of to be used for via network (such as, but not limited to internet) remote access and oil gas The collaborative program of the performance of the Turbomachinery equipment information relevant with health, this is to improve to set while cost and risk is reduced Standby performance couple with advanced visual feature with embedded advanced original equipment manufacturer's (OEM) algorithm and rule set Wieldy intelligent native monitoring and diagnostic system (LMDS).
LMDS helps prevent unit tripping operation (unit tripping) and determined by identifying problem before problem occurs Anomalous performance degrades, and is realized and optimized by special system tunning.LMDS collects operation data, alarm from unit control panel And event information, and this information is stored in center historical record and SQL (SQL) data by local data base In storehouse, and by predefining equipment Enterprise SOA (SOA) data model, via explorer with rich figure lattice Formula is presented this information.
After login, the 1st grade of place level queue view is presented to user at once, it is shown in what is connected at each place The healthy summary of all battle arrays or series.The main production Key Performance Indicator (KPI) of display, such as running status, count next time Draw quick " at once " chart stopped work and export stream availability and Calculation of Reliability.The battle array color of simulation cartoon is depicted in often Most serious alarm state existing at individual unit, wherein the red height or critical alarm for representing to mean to stop work or start failure, Orange expression moderate alarm, yellow represent low alarm, and green instruction health operations.In an exemplary embodiment, monitor Tab provides man-machine interface (HMI) the 2nd grade of battle array view, and it contains the current KPI lists for gas turbine and compressor. In various embodiments, monitor that tab provides the 2nd grade of battle array view of HMI, it contains for miscellaneous equipment (such as, but not limited to Steamturbine and generator or gas turbine and generator) current KPI lists.The state of machine is shown in color monitor And cited KPI.Many regions on screen are available for user down deeply to obtain further detail below.Click on gas turbine The 3rd level machine vision of that gas turbine is provided.
The single optional 3rd level view for each compressor or any other passive equipment also be present.Regarded from 3rd level Figure, user down can deeply obtain the more details of various detections and measurement using any number of hyperlink.Click on Vibration button shows the 4th grade or component view.4th grade of view describes vibrating sensor pickup, and user can therefrom be deep into More details, include earthquake, axial or radial direction the value of its vibration probe.In addition, the display performance on performance options card KPI.Performance KPI includes the thermodynamic property of turbine and compressor both.For compressor, this includes flow and speed.User May be selected indivedual KPI come carry out deeper into analysis, it include thermodynamic property measure live or per minute view once, For example, describe the polytropic efficiency in the operation envelope of centrifugal compressor.In live view, Bluepoint represents expected to rank, and Green point shows actual grade.Analysis option card is LMDS feature, and it permits advanced system in the KPI window combinations with can search for Figure instrument promotes specialty analysis and failture evacuation.User can find out specific KPI, from single graph or multiple on chart side by side Trend, the time cycle of self-defining data analysis are watched in KPI, and the special time cycle is amplified to using sliding block.When right When its analysis pleases oneself, user is commented on before can adding text, and the analysis is preserved to be sent to client or partner as pdf Discuss, and by the way that the analysis is saved as into collection for being recalled immediately to make LMDS individual characteies any time in the future Change.
Alarm is to provide another instrument on the information of current alert and Historical Alerts with event window.Herein, use Family can perform any number of task, including alarm is grouped, scan for or filter for particular alert, watches public affairs Accuse, by quickly analyze the trend of alarm-triggering tag analyze warning information, to alarm-history add comment on, and confirm and Remove alarm.For diagnosis engineering teacher, alert window can be the startup for needing any diagnostic work to the series execution Point.
Information option card allows user to device name plate marked with date to help to identify just monitored different components.Letter Breath tab also includes the information associated with special assets, such as, but not limited to release of service, as-built drawing, the bill of materials And account on the spot data (BOM).Online help is characterized in what be can search for completely, and can give user at any aspect of system Instruct.
Fig. 1 is remotely monitor according to an exemplary embodiment of the invention and the schematic block diagram of diagnostic system 100.Institute State in one exemplary embodiment, system 100 includes remotely monitor and diagnostic center 102.Remotely monitor is with diagnostic center 102 by entity Operation, such as the OEM for the multiple equipment bought, and operated by independent commercial entity, such as application entity.In exemplary reality Apply in example, OEM and application entity enter support and arranged, and OEM provides the device-dependent clothes with being bought to application entity whereby Business.Application entity can possess in single place or multiple places and operate bought equipment.In addition, OEM can be with multiple operations Entity, which enters, to be supported to arrange, the single place or multiple places of each application entity operation their own.Multiple places can be each self-contained There are identical specific installation or the multigroup equipment of identical, such as equipment chain.In addition, at least some equipment can be for a place To be unique or be unique for all places.
In an exemplary embodiment, field one 104 includes one or more process analyzers 106, apparatus monitor system 108th, equipment local control centre 110 and/or monitoring and alarm boards 112, it is each configured to and corresponding device senses Device and control device are interfaced with to carry out the control of relevant device and operation.One or more of process analyzers 106, Supervision Viewing system 108, equipment local control centre 110 and/or monitoring are communicatively coupled with alarm boards 112 by network 116 To intelligent surveillance and diagnostic system 114.Intelligent surveillance is further configured to diagnosis (IMAD) system 114 System (not shown in figure 1) and users of off-board system (such as, but not limited to remotely monitor and diagnostic center 102) communicate.In various embodiments In, IMAD 114 be configured to using such as dedicated network 118, Radio Link 120 and internet 122 come with remotely monitor with examining Disconnected center 102 communicates.
Each of a number of other places (for example, field two 124 and n-th of place 126) can be substantially similar to Field one 104, but can be quite analogous to or can not exclusively be similar to field one 104.
Fig. 2 is the network architecture of native industry plant supervisory and diagnostic system (such as dcs (DCS) 201) The block diagram of 200 one exemplary embodiment.Industrial plant may include multiple shop equipments, for example, gas turbine, centrifugal compressor, Gear-box, generator, pump, motor, air blower and process monitoring sensor, its coupling in a manner of being in fluid communication interconnecting piping Merge and by one or more remote input/output (I/O) modules and interconnecting cable and/or radio communication with signal communication Mode coupled with DCS 201.In an exemplary embodiment, industrial plant includes DCS 201, and wherein DCS 201 includes network Trunk 203.Network backbone 203 can serve as reasons (such as) twisted-pair cable, screened coaxial cable or hardwired made of fiber optic cables Data communication path, or can be at least partly wireless.DCS 201 may also include processor 205, and wherein processor 205 is with logical Letter mode is coupled to shop equipment, and positioned at industrial plant plac or remotely located, this is realized by network backbone 203.Should Understand, any number of machine can be operatively connectable to network backbone 203.A part of machine can be hardwired to network backbone 203, and another part machine can be wirelessly coupled to trunk 203 via wireless base station 207, and the wireless base station 207 is with logical Letter mode is coupled to DCS 201.Wireless base station 207 can be used to expand DCS 201 efficient communication scope, such as with being located remotely from Industrial plant but still be interconnected to the equipment of one or more systems in industrial plant or the communication of sensor.
DCS 201 can be configured to receive and show the operating parameter associated with multiple equipment, and produce automatic control Signal processed and manual control input is received for controlling the operation of the equipment of industrial plant.In an exemplary embodiment, DCS201 may include software code fragment, and the software code fragment is configured to control processor 205 and analyzed at DCS 201 The data of reception, the data allow to carry out on-line monitoring and diagnostic system to industrial plant machine.Can be from (including the combustion gas of each machine Turbine, centrifugal compressor, pump and motor), associated process sensor and home environment sensor (e.g., including shake Dynamic, earthquake, temperature, pressure, electric current, voltage, environment temperature and ambient humidity sensor) collect data.The data can be by this Ground diagnostic module or remote input/output module are pre-processed, or can be transferred to DCS201 by primitive form.
Native monitoring and diagnostic system (LMDS) 213 can be single additional firmware device, such as personal computer (PC), Its by network backbone 203 come with DCS 201 and other control systems 209 and Data Source communication.LMDS 213 can also be in DCS 201 and/or one or more of the other control system 209 on embody in the software program fragment that performs.Therefore, LMDS 213 can be used Distributed way is operated so that a part of software program fragment performs simultaneously on several processors.Thus, LMDS 213 can be fully integratible into the operation of DCS 201 and other control systems 209.LMDS 213 is analyzed by DCS 201, data source The data received with other control systems 209 are determined described in the machine and/or use with the global view using industrial plant The operational health of the process of machine.
In an exemplary embodiment, the network architecture 200 includes server-class computers 202 and one or more client systems System 204.Server-class computers 202 further comprise database server 206, apps server 208, the webserver 210th, Fax Server 212, LIST SERVER 214 and mail server 216.Server 206,208,210,212,214 and 216 Each of embody in the software that can be performed in server-class computers 202, or server 206,208,210,212,214 With 216 any combinations can either individually or in combination in LAN (LAN) (not shown) is coupled in alone server level meter Embodied on calculation machine.Data storage cell 220 is coupled to server-class computers 202.In addition, work station 222 (such as system administration Work station, teller work station and/or the work station of supervisor of member) it is coupled to network backbone 203.Or work station 222 uses The Internet link 226 is coupled to network backbone 203, or is connected by wireless connection (such as by wireless base station 207).
Each work station 222 can be the personal computer with web browser.Although performed generally at work station Function is illustrated as performing at relevant work station 222, but such function can be coupled to many personal meters of network backbone 203 One of calculation machine place performs.Work station 222 is described as only associated with independent exemplary functionality to contribute to understanding can be by Have access to the personal different types of function of performing of network backbone 203.
Server-class computers 202 are configured to be communicably coupled to various individuals, including employee 228, and coupling Close third party, such as service provider 230.Communication in one exemplary embodiment is illustrated as performing using internet, so And it can be communicated in other embodiments using any other wide area network (WAN) type, i.e. the system and process are not limited to use Internet is put into practice.
In an exemplary embodiment, any authorized individual with work station 232 is able to access that LMDS 213.At least One FTP client FTP may include remotely located manager workstation 234.Work station 222 can be with web browser Personal computer on embody.Moreover, work station 222 is configured to communicate with server-class computers 202.In addition, fax clothes Business device 212 is communicated using telephone link (not shown) with the FTP client FTP (including FTP client FTP 236) positioned at distal end.Fax Server 212 is configured to also communicate with other FTP client FTPs 228,230 and 234.
LMDS 213 as described in more detail below computerization modeling is storable in server level meter with analysis tool And can be by the requester accesses of any one FTP client FTP 204 in calculation machine 202.In one embodiment, client system System 204 is the computer for including web browser so that server-class computers 202 can by FTP client FTP 204 using because Special net accesses.FTP client FTP 204 is interconnected to internet by many interfaces, and the interface includes network (such as LAN (LAN) or wide area network (WAN)), dial in connection, cable modem and special High Speed I SDN lines.FTP client FTP 204 can be It can be interconnected to any device of internet, including network phone, personal digital assistant (PDA) or other be based on network Connectable device.Database server 206 is connected to the database 240 containing the information for being related to industrial plant 10, following article More detailed description.In one embodiment, centralized data base 240 is stored in server-class computers 202 and can be by one Potential user at individual FTP client FTP 204 by via a FTP client FTP 204 sign in server-class computers 202 come Access.In an alternative embodiment, database 240 is stored remotely from server-class computers 202, and can be de-centralized 's.
Other industrial plant systems can provide server-class computers 202 and/or FTP client FTP 204 can by towards The data for being independently connected to access of network backbone 203.Interactive electronic technology manual service device 242 is served pair and each machine The request of the machine data of the configuration correlation of device.Such data may include operational capacity, such as pump curve, motor horsepower are specified Value, the class of insulation and frame sign；Design parameter, such as the number of dimension, rotor bar or impeller blade；And flight-line maintenance history, Such as to locating tab assembly and not making machine return to its original design condition before the field modification of machine, adjustment and after adjustment The repairing implemented to machine.
Portable vibration monitor 244 can be directly or by computer input port (such as work station 222 or client system Included port in system 204) intermittently it is coupled to LAN.Generally, vibration data is collected by a certain route, periodically (example Such as, monthly or other periodicity) from a predetermined row machine collect data.It may also be combined with failture evacuation, maintenance and test run activity To collect vibration data.In addition, vibration data can be continuously collected in real time or near real-time.Such data can be for LMDS's 213 Algorithm provides new baseline.Similarly number of passes can be collected on the basis of route or during failture evacuation, maintenance and test run activity According to.In addition, some process datas can be continuously collected in real time or near real-time.Some procedure parameters may not be for good and all detected Measure, and portable process data collection device 245 can be used to collection can be downloaded to by work station 222 DCS 201 with Its process parameter data that can be accessed by LMDS 213.It can for example will be divided process fluid composition by multiple in-service monitoring devices 246 Other process parameter datas such as parser and pollutant exhaust gas analyzer, which provide, arrives DCS 201.
It is fed to various machines or can be by the horse associated with each machine to electric power caused by industrial plant as generator Monitored up to protective relay 248.Generally, such relay 248 is located remotely from the monitored equipment in motor control center (MCC) Place or in the switching device 250 powered to machine.In addition, for protective relay 248, switching device 250 may also include Supervised Control and data collecting system (SCADA), the SCADA are provided at industrial plant (for example, adjusting to LMDS 213 In parking lot) supply of electric power or electric power delivery system (not shown) equipment or remote transmission line-breaker and line parameter circuit value.
Fig. 3 is the block diagram for the exemplary rule set 280 that can be used together with LMDS 213 (shown in Fig. 1).Rule set 280 can The combination of the series of characteristics of behavior and state for one or more custom rules and the definition custom rule.Institute Stating rule and characteristic can be bundled and be stored by the form of XML character strings, and the XML character strings can be based on when storing to file 25 character letter digital ciphers are encrypted.Rule set 280 is to include one or more inputs 282 and one or more outputs 284 Modularization knowledge element.Input 282 can be the software end that data are directed to rule set 280 from the ad-hoc location in LMDS 213 Mouthful.For example, the input from the external vibrating sensor of pump can be transferred to the hardware input terminal in DCS 201.DCS 201 can be sampled in that end to signal to receive the signal thereon.Then signal can be handled and is incited somebody to action It is stored in DCS 201 be able to access that and/or the memory integrated with DCS 201 in an opening position.Rule set 280 The first input 286 be mapped to positions in memory so that the content of the position in memory is as defeated Entering can use for rule set 280.Similarly, output 288 is mapped to the another one in the memory that DCS 201 is able to access that Put or be mapped to another memory so that contain the output 288 of rule set 280 in the position in memory.
In an exemplary embodiment, rule set 280 include with industrial plant (for example, gas injection factory, liquid day Right gas (LNG) factory, power plant, refinery and chemical processing facilities) in operation the associated particular problem of equipment monitoring The one or more rule related to diagnosis., can be appropriate although carrying out description rule collection 280 according to being used together with industrial plant Ground constructs rule set 280 to capture any knowledge and be used to determine solution in any field.For example, rule set 280 contain the knowledge relevant with economic behaviour, finance activities, weather phenomenon and design process.Rule set 280 can be then be used to The solution of problem is determined in these areas.Rule set 280 includes the knowledge from one or more sources so that described Knowledge is transferred to any system using rule set 280.By will export 284 it is associated with input 282 it is regular in the form of prisoner Know knowledge so that the specification of input 282 and output 284 allows rule set 280 being applied to LMDS 213.Rule set 280 can be only Including particularly in the rule of specific plant assets, and can be only in one associated with that specific plant assets Possible problem.For example, rule set 280 can only include the rule suitable for motor or motor/pump combination.Rule set 280 can The healthy rule of motor/pump combination is only determined including the use of vibration data.Rule set 280, which may also include, uses a set of diagnosis work Tool determine motor/pump combination healthy rule, in addition to Vibration Analysis Technology, the diagnostic tool may also include (such as) Performance calculating instrument and/or financial calculating instrument for motor/pump combination.
In operation, in SDK create rule set 280, its prompt the user with input 282 with output 284 it Between relation.Input 282 can receive expression (such as) data signal, analog signal, waveform, treated signal, be manually entered and/ Or configuration parameter and the data of the output from Else Rule collection.Rule in rule set 280 may include logic rules, numerical value Algorithm, waveform and signal processing technology application, expert system and intelligent algorithm, statistical tool and can make output 284 with it is defeated Enter 282 associated any other expression formulas.Output 284 is mapped to being retained and configuring each to receive in memory The relevant position of output 284.LMDS 213 and DCS 201 then can complete LMDS 213 using the position in memory With any monitoring that can be programmed to perform of DCS 201 and/or control function.The rule of rule set 280 is independently of LMDS 213 Operated with DCS 201, although input 282 can be fed into rule set 280 indirectly directly or through intervening devices And output 284 is fed to rule set 280.
During rule set 280 is created, the human expert in the field is used by programming one or more rules Developing instrument is announced particularly in the knowledge in the field of special assets.By producing the relation between output 284 and input 282 Expression formula create the rule so that do not need coding rule.Graphical method selection operation from operand storehouse can be used Number, such as drag and drop are used in the graphical user interface being building up in developing instrument.Can be from the storehouse portion of screen display (not shown) The figure of selection operation number represents in point, and is dragged and dropped into rule creation part.Arranged and inputted with logic display mode Relation between 282 and operand, and when suitable based on selected specific operation number and specific several inputs 282 come to User's prompt value, such as constant.Many rules required for knowledge due to creating capture expert.Thus, rule set 280 can State of the art in specific area based on customer demand and rule set 280 is come including one group of sane diagnosis and/or monitoring rule Then or one group of relatively unstable diagnosis and/or monitoring rule.Developing instrument is provided for the test order collection during exploitation 280 resource come ensure input 282 various combinations and value output 284 at generation anticipated output.In order to protect in rule set The knowledge or intellectual property captured in 280, it exploitation encrypted code can be used to carry out locking discipline collection 280 and possess encryption key to prevent and kill off Personnel outside personnel change.For example, the founder of rule set 280 can keep encryption key to block rule set 280 End user, founder can to end user or can then to end user provide service third party sell encryption key or To its issue licenses within a period of time.
After exploitation, rule set 280 can enter allocation model, wherein by rule set 280 be converted to can transmission form, example Such as XML file, its can via e-mail, CD-ROM, towards the link of internet site or for transmitting computer-readable text Any other mode of part is transferred to client.Rule set 280 can be encrypted with distribution encrypted code, and the distribution encrypted code can Prevention uses rule set 280, unless end user is authorized by founder, such as distributes encryption key by buying.Rule set 280 It can be received by end user by the way that any mode of computer readable file can be transmitted.It can be the part to form LMDS213 Software platform rule set manager can receive can forms of distribution rule set 280 and be converted into can be by LMDS 213 The form used.Graphical user interface permits end user using one or more rule sets 280 as object to manipulate.It can apply Rule set 280 so that input 282 is correctly mapped with the correspondence position in memory, and exports 284 with it in memory In correspondence position correctly mapped.When initial application, rule set 280 can be placed in test model, wherein rule set 280 are operated as creating, and the notice for the abnormal behaviour that can be simply detected by rule set 280 is divided with not being allocated or limit Match somebody with somebody.During test model, quality authentication is can perform to ensure that rule set 280 correctly operates in operating environment.Work as quality Certification complete when, rule set 280 can be come into operation, wherein rule set 280 on LMDS 213 with the rule in rule set 280 Fully functional property operated.In another embodiment, rule set 280 includes the life cycle only with two patterns, That is test model and implementation pattern.In test model, in addition to not generating event or not sending notice, rule is normally transported OK, and carry out pattern and be approximately similar to come into operation.
In the exemplary embodiment, rule set may include it is following one or more：
Gas turbine availability rule collection：
1. wheel space temperature
2. delivery temperature inspection
3. exhaust temperature ranges
4. faulty combustion device locator
5.DLN is shifted
6. Flame detectors monitor
7. lubricating oil temperature
8. inlet filter
9. compressor pressure ratio
10. the IBV/IGV/IBH/GCV/FPG rules for detecting transmitter problem.
Gas turbine performance rule set：
1. Axial Flow Compressor efficiency
2. Axial Flow Compressor flow
3. power output degrades
4. heat consumption rate degrades
5. part ioad fuel consumption
Centrifugal compressor availability rule collection：
Primary seal gas system availability rule collection：
1. the dirt in pneumatic filter
2.PDV failures (DE)
3.PDV failures (NDE)
4. secondary seal PDV failures
5. three-level seals PV failures
6.Ampliflow gasket failures
7. the local leakage around panel
8. heater failure
Dry gas seal box availability rule collection：
9. coalescer fails
10. primary seal box damages DE
11. primary seal box damages NDE
12. secondary seal box damages DE
13. secondary seal box damages NDE
14. hydro carbons condenses
15. sealing gas is escaped (part) by secondary air vent
16. the normally opened DE of primary seal
17. the normally opened NDE of primary seal
18. final sealing increase clearance D E
19. final sealing increase gap NDE
20. the normally opened DE of secondary seal
21. the normally opened NDE of secondary seal
Primary ventilating system
22. flame pressure is low
23. flame pressure is high
Separate gas system availability
24. three-level seal failure (fuel oil migration)
Nitrogen supply (NS) system
25. nitrogen supply (NS) thrashing
Performance of centrifugal compressors rule set：
1. actual performance
2. estimated performance
3. efficiency declines alarm
4. head coefficient difference
5. discharge coefficient difference
6. suction condition
In one embodiment, wheel space temperature rule set is configured to the operating condition relative to gas turbine engine Calculate expected wheel space temperature.The benefit of wheel space temperature rule set is that the different GT components of link come in advance with compressor performance Survey the predictive adaptive threshold of the upper and lower bound of expected wheel space temperature.
Burner swirl angle rule set is configured to estimation representative effluent air temp measured under varying loading Angle between burner source position identifies the position of possible faulty combustion device.
Delivery temperature gap rule set is configured to correctly identify under each combustion mode and under varying loading Hot/cold point in delivery temperature profile, and delivery temperature is defined extremely accurately to define gap exception by predetermined threshold And it is linked to combustion mode and load.
Secondary Flame detectors monitor rule set is configured to predict failure flame based on monitoring analog and digital signal Detector with avoid caused by fault sensor trip.
Axial Flow Compressor efficiency rule set is configured to Axial Flow Compressor efficiency under line computation limit simultaneously And monitoring is with the degradation of time.
Axial Flow Compressor Flux efficiency rule set is configured to be corrected to ISO conditions and 100% speed in line computation Axial Flow Compressor Flux efficiency and monitor with the time degradation.
Gas turbine power output collapsing rule collection is configured to calculate the reality for being corrected to ISO conditions and 100% speed Power output, its using gas turbine engine performance map come compared with initial reference value, to avoid power output from reducing.
Gas turbine heat consumption rate collapsing rule collection is configured to calculate the actual heat for being corrected to ISO conditions and 100% speed Consumption rate, its using gas turbine engine performance map come compared with initial reference value, to avoid excessive heat consumption rate.
Fig. 4 is the data flow block diagram of LMDS 213 according to an exemplary embodiment of the invention.In the exemplary implementation In example, LMDS 213 includes multiple modules.First availability and diagnostic module 402 are configured to receive historical data and quasi real time Data and use and (be such as, but not limited to) alert management, diagnosis/prophesy rule, availability/reliability analysis and failture evacuation To perform real-time data analysis.Performance module 404 is configured to receive historical data and near-realtime data and execution performance is supervised Depending on, performance and operability optimization feasibility, factory's performance optimization and priority-queue statistic/compare.LMDS 213 also includes operation Support module 406, the support module 406 are configured to promote dry low emissions (DLE) and do low NOx(DLN) long-range tuning Operation, the remote failure from such as queue center (such as remotely monitor and diagnostic center 102) is excluded, predictive emissions are supervised Depending on (PEMS), check inventory availability and workshop availability.LMDS 213 also includes machine history module 408, and the machine is gone through History module 408 promotes the bill of materials of the tracking for the more persons selected in the component in design and the factory floor being just completed (BOM).Machine history module 408 is further configured to promote tracking order, makes order, track training material, tracking zero Part is to place under repair and replace and field service engineer (FSE) report.LMDS 213 also includes maintenance project module 410, It is configured to maintain maintenance policy design, maintenance key point and applicable NIC, release of service (SB) and transformation, modification and improved (CM&U)。
Fig. 5 is the component in the component queue that monitoring can monitor from LMDS 213 or remotely monitor with diagnostic center 102 The flow chart of the method 500 of condition and performance.In the exemplary embodiment, method is performed using one or more rule sets 500, the rule set can relative to each other be continuously performed, performs parallel or performed with its combination.The rule is being performed every time During collection, rule set is based on more than 502 inputs of the reception of input 286 for being configured to be concentrated use in each rule.The input Directly it can be received from sensor, DCS 201, sensor control panel, data collecting system or historical record or other databases. The input can represent historical data, near-realtime data or its combination based on the programming of each rule set.Check that 504 is described defeated Enter to check whether in predetermined limits, and if not, so the notice of generation 506 is come to operator's alarm one or more The large-scope change of procedure parameter.If the input received is in predetermined limits, then uses received input to determine 508 The performance of calculating, and determine 510 estimated performances.Calculate 512 actual performances and calculate 514 estimated performances, and by actual property Can be compared with estimated performance 516 to generate aberrations in property.If aberrations in property is more than predetermined allowable deviation 518, then to Condition described in client's alarm 520 associated with the component with larger aberrations in property or system.Use calculated expection Performance, calculate 522 prediction envelopes and mapped 524 to the actual performance calculated.
Fig. 6 is to be communicably coupled to showing for factory floor 104 and remotely monitor and the LMDS 213 of diagnostic center 102 Meaning property block diagram.Show single series of machine 602 in an exemplary embodiment for the sake of clarity.However, any number can be used Machine, component, series and system.Original sensor data 604 and 606 is transferred to remotely monitor and diagnostic system 608 simultaneously And it is transferred to one or more local unit control panels 610.
In the exemplary embodiment, LMDS 213 includes enterprise servers 612, and the enterprise servers 612 are bases Visualization and control program in client/server, it promotes the visualization of plant operation, performs supervision automation and can It is delivered to by information compared with advanced analysis application program.Enterprise servers 612 include graphics engine, dynamic time disposal and additional choosing Item of digital figure plays back (DGR), to permit environment, equipment and the resource that operator accurately monitored and controlled factory.
Enterprise servers 612 manage real-time visibility technology to permit manufacturing from remotely monitor and the management of diagnostic center 102 Some parts, whole factory or the queue of factory.Enterprise servers 612 also provide digital figure playback (DGR) addition record device, its Permit re-calling the event that preceding events occur in the past for pattern analysis.
OPC collectors 614 are independent data access and XML DA clients, and it is from any DA or XML DA servers (such as, but not limited to remotely monitor and diagnostic system 608) capture OPC data.OPC collectors 614 and other OPC comply with product Cooperation handles captured OPC data, it is stored, it is analyzed, or send it to database, file or Switching Module.
OPC collectors 614 are the key components for production data acquisition (PDA) or data administration tasks, and it permits phase To simple data configuration for filing, interim storage or processing.
Dynamic and visual system (DVS) 616 includes trend system 618, and it is promoted by checking the trend of plant data Plant operation visualization is set to carry out factory's performance evaluation and compare.User can from organized factory's particular system select or from Any factory's label of DCS screen display figure selecting of emulation with carry out since now or any scheduled date in the past for example Data trend research to the window in year cycle in one hour.DVS also includes copic viewing system 620, and it helps to show Any specific plant HMI screen (for example, SCADA, DCS screen) and in real time to they feed live data.Copic viewing system Permit to play back past plant operation so that real-time, quick or slow pattern is live from the calendar selection time started.In addition, viewing System 620 can collect all factory's alarms and event and be filed SQL database, the SQL database to for Alarm and logout printer are changed, is asked so as to eliminate the standing cost associated with printer hardware and its consumptive material and reliability Topic.In addition, when copic viewing system 620 is resetting the factory events in cycle seclected time, copic viewing system 620 is live and in real time The whole detailed view of plant operation is provided, it includes plant processes response, alarm generation and operator's activity.
DVS 616 includes warning system 622, its provide hardware and software with promote to collect in real time all factory's alarms and Event and filed SQL database 624 via string line or network, the SQL database 624 is also replacing alarm With logout printer, so as to eliminate the standing cost and integrity problem associated with printer hardware and its consumptive material.This Outside, factory's alarm and event are integrated into trend system 618, copic viewing system 620, warning system 622 and other by warning system 622 In module, these modules are live and provide the whole detailed view of plant operation in real time, and it includes plant processes response, alarm Generation and operator's activity.
Performance system 626 is real-time performance monitor system, and all Key Performance Indicators of its figure shows (KPI) are for factory Personnel monitor factory's performance, utilize online and in real time use and energy efficiency.Execution system promotes determination more effectively to grasp The region of work and optimize whole process.This real-time performance monitor system sees clearly process capability, efficiency and utilization rate.Perform system System also deviates when it counts track in factory or systematic function provides analysis and warning.
Fig. 7 is the screenshot capture of the 1st grade of view 700, and it can be passed through by LMDS 213 or remotely monitor with diagnostic system 608 Watched by network connection.This screenshot capture is shown in all battle arrays of each place connection or the healthy summary of series, described Battle array or series can be selected using asset tree window 702.Main production key performance is shown in fast state window 704 Index (KPI), such as running status, next time scheduled shutdown and quick " at once " of output stream availability and Calculation of Reliability Chart.The battle array color of simulation cartoon 706 in analysis window 707 is depicted in most serious alarm shape existing at each unit State, wherein the red height or critical alarm for representing to mean to stop work or start failure, orange expression moderate alarm, yellow represent low Spend alarm, and green instruction health operations.Alarm and event are recorded in alarm and event window 708.
Fig. 8 is can be regarded in the 2nd grade watched after the 1st grade of view 700 (shown in Fig. 7) selection monitoring tab 802 Figure 80 0 screenshot capture.Monitor that tab 802 provides the 2nd grade of battle array view of HMI, it contains for including the He of gas turbine 804 The list of the current key performance indications (KPI) of the machine series 803 of compressor 806.Illustrate machine system in color monitor The state of row 803 and cited KPI.Many regions on screen are available for user down deeply to obtain further detail below. For example, click on gas turbine 804 and 3rd level machine vision is provided.
Fig. 9 is can to select performance tab from the 1st grade of view 700 (shown in Fig. 7) or the 2nd grade of view 800 (shown in Fig. 8) The screenshot capture for the 3rd level view 900 watched after 902.In 3rd level view 900 cited all KPI only with combustion gas whirlpool Wheel 804 is related.Single 3rd level view be present (not also directed to each compressor and for each other monitored components Diagram).From here, user down can deeply obtain the more of various detections and measurement using any number of hyperlink Details.Display performance KPI in thermodynamic property window 904 on performance options card 902.These KPI include turbine and compression The thermodynamic property of both machines.For compressor, this include (such as) flow and speed.Single KPI may be selected to carry out in user Deeper into analysis, it include thermodynamic property measurement live or per minute view once, for example, describe centrifugal compressor Polytropic efficiency in the operation envelope of machine.Click vibrations show the 4th grade or component view.
Figure 10 is that the screen of the 4th grade of view 1000 of description vibration pickup according to an exemplary embodiment of the invention is cut Figure.From here, user can be deep into more details, include earthquake, axial or radial direction the value of vibration probe.
Analysis option card is that advanced drafting instrument Additional Specialty analysis is permitted when being combined with the KPI window features that can search for With the feature of failture evacuation.User can find out specific KPI, and trend is watched from single graph or side by side in multiple KPI on chart, The time cycle of self-defining data analysis, and it is amplified to the special time cycle using sliding block.Pleased oneself when analyzing it When, user is commented on before can adding text, and the analysis is preserved as pdf and discussed with being sent to client or partner, and The analysis is saved as into collection for being recalled immediately any time in the future.
Term " processor " as used in this description refers to CPU, microprocessor, microcontroller, essence Simple instruction set circuit (RISC), application specific integrated circuit (ASIC), logic circuit and it is able to carry out described in this specification Any other circuit or processor of function.
As used in this description, term " software " and " firmware " they are interchangeable, and including storing in memory Any computer program that device for processing performs, the memory include RAM memory, ROM memory, eprom memory, Eeprom memory and non-volatile ram (NVRAM) memory.Above-mentioned type of memory is only exemplary, and therefore right It is without limitation in the type for the memory that can be used in storing computer program.
Computer programming or engineering design skill can be used in the above-described embodiment that such as will be appreciated that the disclosure based on aforementioned specification Art is implemented, and the technology includes computer software, firmware, hardware or its any combinations or subset, wherein the technology is imitated Fruit is for the selectable Local or Remote monitoring from equipment supplier, OEM or service provider and diagnostic service.Perform Center where remotely monitor and diagnostic service be optionally communicably coupled to native monitoring positioned at factory floor with Diagnostic system.Be granted to download software module, to the renewal of module that has been performed on native monitoring and diagnostic system or When providing remote diagnosis service, remotely monitor can communicate with diagnostic service center with native monitoring with diagnostic system.It is any such Institute's calling program (it has computer-readable code componen) can embody or provide in one or more computer-readable medias, enter And according to the embodiment making computd program product discussed of the disclosure, i.e. product.Computer-readable media can be (such as But be not limited to) fixed (hard disk) driver, floppy disk, CD, tape, semiconductor memory (such as read-only storage (ROM)) and/ Or any transmitting/reception media (such as internet or other communication networks or link).Can be by directly being held from a media Line code, by by code from a medium replication to another media or by via network send code making and/or Use the product containing computer code.
Use the above-mentioned of monitoring machinery in process plant of native monitoring and diagnostic system and the method and system of system Embodiment is provided for being dispersed in from local system or from remote queue system monitoring machine queue in the distal end area in the world Mechanical cost-effective and reliable way.More specifically, the method and system described in this specification contributes to To the real-time OEM solutions of machine applications for being located remotely from OEM facilities.In addition, the above method and system help to maintain this Ground monitors multiple complicated rule sets based on physics with being used in diagnostic system.Thus, described in this specification Method and system helps to monitor the behaviour with diagnosing single factory or factory's queue automatically with cost-effective and reliable way Make.
This written description discloses the present invention, including optimal mode using example, so that any skill of this area Art personnel can implement the present invention, including make and using any device or system and perform any be incorporated to method.This The patentable scope of invention is defined by tbe claims, and may include other realities that those skilled in the art expects Example.If such other examples have the structural detail for the word language for not being different from claims, or if it includes There are the equivalent structural elements of unsubstantiality difference with the word language of claims, then such other examples are intended to belong to In the range of claims.

Claims (10)

1. a kind of native monitoring for factory and diagnostic system (100), the system include：
FTP client FTP (102), it includes user interface and browser；
Plant data storehouse, it is configured to store rule set, and the rule set includes at least one rule, and the rule is expressed Exported for the model and real time data of factory component or factory system in the relational expression relative to real time data input extremely Few one, the relational expression particularly in plant asset or one group of underlying assets, the plant data storehouse further by It is configured to be configured composition from the condition monitoring system receiving event data associated with the factory, the condition monitoring system Analysis shop equipment data are described to generate with the real-time optimization for the process realized equipment and selected, condition monitoring and event diagnosis Event data；
Server-class computers, it is configured to be communicably coupled to the FTP client FTP and the plant data storehouse, The server-class computers are further configured to：
From the factory's unit control panel reception factory component being communicably coupled to around the sensor of factory component positioning Data,
Use the model based on physics associated with the factory component or factory system, the model and experience of data-driven At least one of model and the relational expression export to generate virtual-sensor；
The factory component data and the virtual-sensor generated output are transferred to the plant data storehouse for storage And data visualisation system is transferred to for generating the analyzed pattern that the user of the FTP client FTP is asked；
Using described in the model based on physics, the model of data-driven and empirical model rule set at least one come quasi- reality When determine operation or the performance condition of the factory component or factory system；And
The factory component or the visualization of factory system, the visualization that output is selected by the expression of user's selection include explanation The analyzed pattern and definition of the factory component or factory system are related to the selected factory component or factory system The text message of the value for the data for receiving and being generated.
2. native monitoring according to claim 1 and diagnostic system, wherein the model of the factory component or factory system The model based on physics comprising the factory component or factory system, in the model and empirical model of data-driven at least One.
3. native monitoring according to claim 1 or 2 and diagnostic system, wherein the server-class computers are configured to Receive the rule set generated by the original equipment manufacturer (OEM) of the component associated with rule set or third party entity.
4. native monitoring according to claim 1 and diagnostic system, it further includes telecommunication system, and wherein The server-class computers are configured to be communicably coupled to queue management center using the telecommunication system, clothes Business device system is further configured to transmit in response to the request received from the subject matter expert for being located remotely from the factory The information that is stored in the plant data storehouse related to the operation of at least one of the factory component or factory system, And the modification to one or more of the rule set is received based on the information transmitted.
5. a kind of method for monitoring machine in factory and/or system in process plant using native monitoring and diagnostic system, institute Stating native monitoring and diagnostic system includes the database of at least one rule set, and the rule set includes at least one rule, institute At least one of model that rule is expressed as at least one of machine, system and combinations thereof is stated, methods described includes：
Received and the machine and system in factory from the sensor for being communicably coupled to the native monitoring and diagnostic system At least one of the related procedure parameter value of at least one of operation；
As the native monitoring and diagnostic system be with described at least one of the machine in the factory and system at least The related procedure parameter value of the operation of a part determines virtual sensor value；
The procedure parameter value received and identified virtual sensor value are applied at least one rule with generate with The operation of machine and/or system in the factory monitored related operating characteristics value and diagnostic value；And
The figured of machine in the monitored factory and/or system is generated by the native monitoring and diagnostic system Classification visualization, including the received procedure parameter value and the identified virtual sensor value, each of which level can Represented depending on changing the figure including presentation more more detailed than previous stage.
6. according to the method for claim 5, wherein the model include millwork and/or factory system based on physics At least one of model, the model of data-driven and empirical model.
7. the method according to claim 5 or 6, its further comprising prevent the native monitoring and diagnostic system with outside the venue Entity communication.
8. a kind of monitoring and diagnostic system for factory's queue, the system includes：
The FTP client FTP associated with each factory, each FTP client FTP include user interface and browser；
The plant data storehouse associated with each factory, each plant data storehouse are configured to store with being located at that factory The related rule set of component, the rule set include at least one rule, and the rule is expressed as factory component or system of factory Model and the real time data output of system are relative at least one of relational expression of real time data input, the relationship expression Formula particularly in plant asset or one group of underlying assets, the plant data storehouse be further configured to from factory's phase The condition monitoring system receiving event data of association, the condition monitoring system are configured to analyze shop equipment data to realize The real-time optimization of equipment and the process select, condition monitor and event diagnosis generates the event data；
The queue database being located remotely from factory's queue, the queue database are configured to from factory's queue The factory of optional number receive factory's performance and operation data, factory's performance and operation data and include history plant data Quasi real time plant data；
Server-class computers, it is configured to be communicably coupled to the FTP client FTP and the plant data storehouse, The server-class computers are further configured to：
From the factory's unit control panel reception factory component being communicably coupled to around the sensor of factory component positioning Data；
Use the model based on physics associated with the factory component or factory system, the model and experience of data-driven In at least one of model and the relational expression it is described at least one come generate virtual-sensor output；
The factory component data and the virtual-sensor generated output are transferred to the plant data storehouse for storage And data visualisation system is transferred to for generating the analyzed pattern that the user of the FTP client FTP is asked；
Using the model based on physics, data-driven model and empirical model rule set in described at least one come Operation or the performance condition of the factory component or factory system are determined near real-time；And
The factory component or the visualization of factory system, the visualization that output is selected by the expression of user's selection include explanation The figure of the factory component or factory system and define the institute related to the selected factory component or factory system The text message of the value for the data for receiving and being generated.
9. monitoring according to claim 8 and diagnostic system, wherein the factory component or factory system based on physics In model, the model and empirical model of data-driven it is described at least one include the factory component or factory system The proprietary data of original equipment manufacturer.
10. monitoring according to claim 8 or claim 9 and diagnostic system, wherein the server-class computers are configured to connect Receive the rule set generated by the original equipment manufacturer (OEM) of the component associated with rule set or third party entity.
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